transcribe
Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
Source facts
- Repository
- ThinkfleetAI/thinkfleet-engine
- Last source activity
- February 1, 2026 at 21:09
- Detected SKILL.md language
- English
- Stars
- 0
- Forks
- 0
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SKILL.md
Source instructions · Read-only preview- name
- transcribe
- description
- Transcribe audio files to text using local Whisper (Docker). Use when receiving voice messages, audio files (.mp3, .m4a, .ogg, .wav, .webm), or when asked to transcribe audio content.
# Transcribe
Local audio transcription using faster-whisper in Docker.
## Installation
```bash
cd /path/to/skills/transcribe/scripts
chmod +x install.sh
./install.sh
```
This builds the Docker image `whisper:local` and installs the `transcribe` CLI.
## Usage
```bash
transcribe /path/to/audio.mp3 [language]
```
- Default language: `es` (Spanish)
- Use `auto` for auto-detection
- Outputs plain text to stdout
## Examples
```bash
transcribe /tmp/voice.ogg # Spanish (default)
transcribe /tmp/meeting.mp3 en # English
transcribe /tmp/audio.m4a auto # Auto-detect
```
## Supported Formats
mp3, m4a, ogg, wav, webm, flac, aac
## When Receiving Voice Messages
1. Save the audio attachment to a temp file
2. Run `transcribe <path>`
3. Include the transcription in your response
4. Clean up the temp file
## Files
- `scripts/transcribe` - CLI wrapper (bash)
- `scripts/install.sh` - Installation script (includes Dockerfile inline)
## Notes
- Model: `small` (fast) - edit install.sh for `large-v3` (accurate)
- Fully local, no API key needed
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